bennokrojer / ml2

Yo

ML2

Part 1

• plot more curves to visualize convergence for diff batch sizes
• complete 1.4

PART 2

• n grams, tfidf__-use_idf (maybe hfake news has more filler words etc), penalty (not so much), c tol(vs epsilon) (possibly)
  • need to read up on and others, maybe other params we havent included?
    • ie max_features (good to focus on high frequency vs low? ooD? etc), penalty (in solver: liblinear, etc)
• MORE GRAPHS -> maybe try RandomSearch with all of the params (or a lot)
• maybe more preprocessing (?) -> remove garbage weights -Scaling features (fromo sklearn docs)
• Pipeline (try different model with justification)
• Things to look more into: C parameter -> which > 0 pos int val for log. reg

%Last updated Mon. Oct 18. 2021